ArticleJapanese journal of ophthalmology2019
Kago-Eye2 software for semi-automated segmentation of subfoveal choroid of optical coherence tomographic images.
Article in Japanese journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Changes in Choroidal Structure Associated with Idiopathic Macular Hole Border Morphology.Journal of clinical medicine · 2025Article
- Effects of age and axial length on choroidal stratified structure in normal eyes.Scientific reports · 2024Observational
- Changes in choriocapillaris structure occurring in idiopathic macular hole before and after vitrectomy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023Observational
- Choroidal imaging using optical coherence tomography: techniques and interpretations.Japanese journal of ophthalmology · 2022Review
- Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning.Translational vision science & technology · 2021Article
- Livelayer: a semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo determine the capabilities of the "Kago-Eye2" software to semi-automatically segment the choroid in the optical coherence tomographic (OCT) images. STUDY
designA cross-sectional, prospective study of 44 healthy volunteers.
methodsThe Kago-eye2 software was developed to detect the border between Choriocapillaris and Sattler's layer (C-S) and between Sattler's layer and Haller's layer (S-H). The intra- and inter-grader agreements were determined for the segmentations made with semi-automated and manual analysis using the Kago-Eye2 software. The inter-method agreements were determined for two independent graders.
resultsForty-four right eyes of 44 heathy volunteers (22 men) with a mean age of 35.0 ± 8.8 years were studied. The intra-grader agreement of the C-S border was 0.97 for grader 1 and 0.892 for grader 2 for the manual segmentation, and 0.908 for grader 1 and 0.842 for grader 2 for the Kago-Eye2 segmentation. For the S-H border, the intra-grader agreement was 0.96 for grader 1 and 0.981 for grader 2 for manual segmentation and 0.855 for grader 1 and 0.839 for grader 2 with the Kago-Eye2. For the C-S and S-H border, the inter-grader agreement was 0.548 and 0.902 for manual segmentation and 0.947 and 0.833 for the Kago-Eye2. The inter-method agreement was 0.565 for the C-S border and 0.759 for the S-H border.
conclusionThe Kago-Eye2 software can segment the layers of the subfoveal choroid with good reproducibility and repeatability. We conclude that the Kago-Eye2 software can be used for semi-automatic segmentation of the choroidal layers.
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